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Articles November 13, 2026

From New OCC & FSB AI Guidance to Exam-Ready Governance

Genie Donnelly Jai Oberoi
Authors
Genie Donnelly, Jai Oberoi

What the New Office of the Comptroller of the Currency (OCC) and Financial Stability Board (FSB) AI Guidance Means for Financial Institutions and How to Become Exam-Ready

In the space of three weeks, two of the most influential bodies in financial regulation published detailed expectations for how institutions should govern artificial intelligence. This paper compares the OCC’s supervisory framework with the Financial Stability Board’s sound practices, explains where they converge and differ, and sets out a practical path to readiness, including how CapTech’s SentryPoint AI platform puts these expectations into operation.

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Executive Summary

In October 2026 the Financial Stability Board (FSB) finalized 12 Sound Practices for Responsible Adoption of Artificial Intelligence. In November 2026 the Office of the Comptroller of the Currency (OCC) published a supervisory framework for examiners evaluating banks’ use of AI, which it now calls “Super Intelligence” (SI). One is a global toolkit addressed to boards; the other is a U.S. examiner’s lens. Neither is a binding rule. Together, they describe the same destination.

Both documents say AI governance should be built into existing risk frameworks rather than bolted on, and that control intensity should scale with the consequences of failure. Both expect a complete inventory of AI use, consistent risk tiering, human oversight that is meaningful rather than nominal, continuous monitoring, tamper-resistant records, and rigorous oversight of third-party AI. Both single out agentic AI as the frontier where risk grows fastest.

The practical message for financial institutions is simple: the evidence an examiner will ask for has to exist before the exam, in one place, and tie out. Institutions still running AI governance on spreadsheets, email approvals and periodic reviews will struggle to show that. CapTech created SentryPoint AI to close exactly that gap.

Key Takeaways

The bar has moved from policy to evidence.

Both frameworks ask institutions to demonstrate, not just describe, how AI is governed.

A single system of record is foundational.

The FSB notes leading banks run their AI inventory on dedicated software, while less mature banks “rely on spreadsheets.”

Proportionality cuts both ways.

Low-risk tools should move faster; high-consequence and autonomous AI needs heavier and provable controls.

Agentic AI raises the stakes.

Both frameworks expect clear permissions, traceable actions, and the ability to stop an agent quickly.

Why This Matters Now

Regulators have spent several years signaling interest in AI. These two publications are different: they are specific. The OCC framework gives examiners 16 components and an illustrative four-tier risk model to tailor their supervisory work. The FSB report gives boards 12 practices, a seven-stage AI lifecycle, and case studies showing how institutions have applied them proportionately.

For U.S. national banks, the OCC framework is effectively a preview of exam conversations. For insurers, asset managers, payments firms and internationally active groups, the FSB report is the clearest global reference point, and one that national authorities and sector standard-setters typically build on. Both bodies describe their documents as living and expect to update them as technology evolves.

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Genie Donnelly

Principal, Financial Services

Genie is a senior account executive and an expert in the financial services industry, advising a top 3 U.S. financial client while supporting CapTech’s growth and development. A champion for mentoring and inclusion, she fosters strong relationships and has spent 20+ years driving customer experience and digital transformation.

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Jai Oberoi

Managing Director

Jai is a seasoned expert in data and AI transformation with over two decades of experience working with leading financial institutions. Jai's expertise in data strategy, analytics, and AI/ML operations makes him a trusted partner for organizations looking to unlock the full potential of their data.

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